Statistical Method Based on Bayes-Type Empirical Score Test for Assessing Genetic Association with Multilocus Genotype Data
المؤلفون المشاركون
Tian, Yi
Ma, Li
Cai, Xiaohong
Zhu, Jiayan
المصدر
International Journal of Genomics
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-07
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Simultaneous testing of multiple genetic variants for association is widely recognized as a valuable complementary approach to single-marker tests.
As such, principal component regression (PCR) has been found to have competitive power.
We focus on exploring a robust test for an unknown genetic mode of all SNPs, an unknown Hardy-Weinberg equilibrium (HWE) in a population, and a large number of all SNPs.
First, we propose a new global test by means of the use of codominant codes for all markers and PCR.
The new global test is built on an empirical Bayes-type score statistic for testing marginal associations with each single marker.
The new global test gains power by robustly exploiting the Hardy-Weinberg equilibrium in the control population and effectively using linkage disequilibrium among test markers.
The new global test reduces to PCR when the genotype for each marker is coded as the number of minor alleles.
This connection lends insight into the power of the new global test relative to PCR and some other popular multimarker test methods.
Second, we propose a robust test method based on the new global test and the ordinary PCR test built on a prospective score statistic for testing marginal associations with each single marker when the genotype for each marker is coded as the number of minor alleles by taking the minimum p value of these two tests.
Finally, through extensive simulation studies and analysis of the association between pancreatic cancer and some genes of interest, we show that the proposed robust test method has desirable power and can often identify association signals that may be missed by existing methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tian, Yi& Ma, Li& Cai, Xiaohong& Zhu, Jiayan. 2020. Statistical Method Based on Bayes-Type Empirical Score Test for Assessing Genetic Association with Multilocus Genotype Data. International Journal of Genomics،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1171249
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tian, Yi…[et al.]. Statistical Method Based on Bayes-Type Empirical Score Test for Assessing Genetic Association with Multilocus Genotype Data. International Journal of Genomics No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1171249
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tian, Yi& Ma, Li& Cai, Xiaohong& Zhu, Jiayan. Statistical Method Based on Bayes-Type Empirical Score Test for Assessing Genetic Association with Multilocus Genotype Data. International Journal of Genomics. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1171249
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1171249
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر